Charles A. Saylor - Gainesville FL, US Yu Li - Gainesville FL, US
Assignee:
Invivo Corporation - Gainesville FL
International Classification:
G01V 3/00
US Classification:
324318, 600422
Abstract:
Embodiments of the subject invention can utilize a single coil structure for dual-mode operation. In a specific embodiment, a single coil structure can be used as a volume coil in the transmitting phase and as a phase array in the receiving phase. In an embodiment, a transmit coil array in accordance with the subject invention can be utilized for one or more of the following: ) parallel RF excitation on an MRI scanner equipped with a multiple-channel transmitter; ) serial RF excitation with the use of a switch system with a single channel transmitter; and ) generation of a homogeneous Bfield for regular MRI with the use of a power splitter on a standard scanner. In a specific embodiment, the use of a concentric double loop coil with different tunings of inner and outer loops can be implemented. In an embodiment, the coil elements can be decoupled using the CRC mode of a concentric double loop coil. In an embodiment, a surface coil transmit array can provide better compatibility with a receive array.
Method And Apparatus For Determining A Hemodynamic Response Function For Event-Related Functional Magnetic Resonance Imaging
Yu Li - Gainesville FL, US Mark Limkeman - Gainesville FL, US
International Classification:
A61B 5/055
US Classification:
600410
Abstract:
Embodiments of the subject invention can involve a method of suppressing noise in hemodynamic deconvolution for event-related functional MR imaging (ER-fMRI). A typical ER-fMRI experiment measures the Blood Oxygenation Level Dependent (BOLD) response to a series of sparse, short-duration stimuli. Based on the deconvolution of a hemodynamic response function (HRF) from the BOLD signal and event stimulus function, the neuronal activation can be localized to specific brain regions and tracked on the order of a second. ER-fMRI can be used to study the temporal dynamics of neuronal network. However, in certain situations, aliasing noise can be generated in hemodynamic deconvolution due to the low sampling rate limited by the imaging speed. This aliasing noise can reduce the accuracy of temporal characterization of the HRF. In an embodiment, by incorporating the use of a phantom having one or more coil loops positioned perpendicular to the magnetic field B, such that DC current inputted into one of the loops will produce field distortion to B, an ER-fMRI experiment can be calibrated and the temporal measurement of HRF can be improved with the removal of aliasing noise.
Method And Apparatus For Reconstruction Of An Image In Image Space Using Basis Functions (Rib) For Partially Parallel Imaging
Yu Li - Gainesville FL, US Feng Huang - Gainesville FL, US G. Randy Duensing - Gainesville FL, US
International Classification:
G01R 33/48
US Classification:
324312
Abstract:
Embodiments of the invention pertain to a method and apparatus for image reconstruction for parallel Magnetic Resonance Imaging (MRI). In a specific embodiment, a method for image reconstruction in image space is provided. The method can suppress aliasing caused by undersampling when the number of sampling lines in k-space is reduced to increase the imaging speed. In an embodiment, suppressing aliasing from under-sampling can improve the quality of images reconstructed from the data acquired using a MRI coil array. In an embodiment, the method operates in image space and achieves a good resolution. In the reconstruction, the sum of square errors can be minimized within a region of interest, which can allow the image reconstruction to be optimized in a particular imaging region of interest by sacrificing the reconstruction of other regions. In a further embodiment, image reconstruction can be implemented region by region, allowing global optimization by spending a longer time in reconstruction.
Magnetic Resonance Partially Parallel Imaging (Ppi) With Motion Corrected Coil Sensitivities
Feng Huang - Gainesville FL, US Wei Lin - Gainesville FL, US Yu Li - Gainesville FL, US
Assignee:
KONINKLIJKE PHILIPS ELECTRONICS N.V. - EINDHOVEN
International Classification:
G06K 9/00
US Classification:
382131
Abstract:
Magnetic resonance (MR) imaging performed in cooperation with an MR scanner () uses a method comprising: (i) acquiring sensitivity maps () for a plurality of radio frequency coils using a MR pre scan () performed by the MR scanner; (ii) acquiring an MR imaging data set () using the plurality of radio frequency coils and the MR scanner; and (iii) reconstructing () the MR imaging data set using partially parallel image reconstruction employing the sensitivity maps and a correction for subject motion between the acquiring (i) and the acquiring (ii).
Correlation Imaging For Multi-Scan Mri With Multi-Channel Data Acquisition
CHILDREN'S HOSPITAL MEDICAL CENTER - Cincinnati OH
International Classification:
G06T 11/00
US Classification:
382131
Abstract:
A framework is provided for accelerating multi-scan and multi-channel data acquisition in a clinical MRI protocol by estimating correlation functions from images previously acquired or reconstructed, with the same or with different contrast and resolution. Using an MRI apparatus, the method collects a plurality of prior MRI image scan data sets, obtains a current MRI scan data, and reconstructs the current MRI scan data set using an aggregate of the plurality of prior MRI image data sets. The method provided may optimize previously acquired MRI image data sets to reconstruct an MRI image scan data set and image.
Dr. Li graduated from the China Med Univ, Shenyang City, Liaoning, China in 1985. He works in Davenport, IA and 1 other location and specializes in Anatomic Pathology & Clinical Pathology. Dr. Li is affiliated with Trinity Medical Center Moline, Unitypoint Health Trinity, UnityPoint Health Trinity Bettendorf and Unitypoint Health Trinity Regional Medical Center.
National University of Singapore - Computer Science, Beijing University of Posts and Telecommunications - Information Engineering
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Yu Li
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Hofstra University - M.B.A. in Finance, New York Institute of Technology - M.S. in Computer Sciense, Tsinghua University - B.S. in Electrical Engineering
Yu Li
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Shanghai Jiao Tong University
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University of Houston
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